Rahul Thorat's repositories
ner_model_prodigy
Building a natural language processing custom model with annotation tool prodi.gy
bootstrap-dashboard-web-app
This dashboard is an example to design and style a dashboard app completely in python with Dash Bootstrap.
sankey-diagram-plotly
An Alluvial diagram has been used to relate categories, subcategories of grant applications
anomaly-detection-web-app
A web app is built to detect anomalies in data.
Classificeren-van-Organisaties
de automatische classificatie van organisaties Gezondheid, Sport en Onderwijs
comparison-text-target-vs-source
Comparison-text-target-vs-source
control_bekende_malafide_handelspartijen
match email domains from an input Excel file with a list of known domains of malafide practices
copy-geoplot-geopandas
copied code to plot a map with geoplot and geopandas
data-repositories-download
Importing repositories from Re3data
discipline-classification-01
This is a code to be run in Google Colab.
discipline-classification-02
This is a code to run in Google Colab.
discipline_analyses_of_proposals
It is important for a granting agency to know how the distribution of the applications qua disciplines is. ˆ How many applications belong to Exact Science disciplines, how many fall within one discipline? ˆ How many applications with disciplines outside exact sciences domain have been submitted?
Faillissement_2023_analyse
Python-script dat gegevens over faillissementen voor het jaar 2023 analyseert en visualiseert
filtering_reviewers_from_Expert_Lookup
Funders use Expert Lookup for a list of reviewers for submitted research proposals. It still takes a lot of time to check whether the selected reviewers from Expert Lookup have already in contact with the funder or whether they have already assessed a proposal. With this code a funder can easily filter list of reviewers.
fraud-detection-in-subsidy-applications
whether the companies submitting subsidy applications to government have been suspected of fraud or commited fraud in the past.
pattern-matching-functions
functions for matching pattern such as symbols, name, e-mail adress, hyperlinks, string
prodigy-labels
Importing prodi.gy dataset in jupyter notebook, reading labels and exporting list of words per label
proposal_info_Elsevier_Expert_Lookup_01
Funding organisations who use Elsevier Expert Lookup for searching reviewers for subsidy applications manually place application information per subsidy round in the Expert Lookup. That takes a lot of time and energy. By automatically placing the application information in the Expert Lookup, funding organisations can save a lot of time. Elsevier Expert Lookup provides format in which it can take the lumsum application information. This code provides missing gap, where the lumsum applications information from funding organisation is converted into the format to upload the lumsum information in Expert Lookup.
proposal_info_Elsevier_Expert_Lookup_02
Funding organisations who use Elsevier Expert Lookup for searching reviewers for subsidy applications manually place application information per subsidy round in the Expert Lookup. That takes a lot of time and energy. By automatically placing the application information in the Expert Lookup, funding organisations can save a lot of time. Elsevier Expert Lookup provides format in which it can take the lumsum application information. This code provides missing gap, where the lumsum applications information from funding organisation is converted into the format to upload the lumsum information in Expert Lookup.
ratio-applicant-applications
This code gives ratio of applications and applicant for two subsidie rounds.
reorienting_pandas_table
Reorienting the table to make keywords from multiple rows appear in a single row
repository-name-finder
Extracting data repository name from a text
scientific-mobility
Following script creates a geographic map of scientific mobility. It shows scientists going from one institute to another institute for a given year.
Sentiment-Analysis-with-BERT
een script om sentimentanalyse uit te voeren op open feedback van een Klanttevredenheidsonderzoek (KTO) met behulp van een getraind BERT-model
set-index-and-groupby
A better way to summerize a table information in pandas
text-to-speech-converter
Convert text to speech using the Google Text-to-Speech (`gTTS`) library and play the resulting audio file
text_clustering
The grouping of texts into various clusters can be used to differentiate various themes within the texts.
text_filtering_on_keywords
This is a code that can be used to filter projects or applications with a particular theme. You need to type your server, your database, your query and the name of the them that you wnat to search the projects for. The advantage of this code over just sql is that you can make it as an executable file or web graphic interface, thereby useful for multiple themes search and can be delegated to people without knowledge of SQL
various-code-blocks
This is a collection of various code blocks, supplimentory to other repositories.